Initial commit (7bb6c672) · Commits · examples / Learning iPython Notebook

Learning iPython Notebook - Working Files/Chapter 1/Installation of IPython Notebook using Anaconda.ipynb

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		{
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		"name": ""
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		"nbformat": 3,
		"nbformat_minor": 0,
		"worksheets": [
		{
		"cells": [
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [],
		"language": "python",
		"metadata": {},
		"outputs": []
		}
		],
		"metadata": {}
		}
		]
		}
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Learning iPython Notebook - Working Files/Chapter 1/Introduction.ipynb

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		{
		"metadata": {
		"celltoolbar": "Slideshow",
		"name": "",
		"signature": "sha256:2a450d4211220db77edf733cefb5e2ddb631f8699a13d8d3a5454e8ad8f326cc"
		},
		"nbformat": 3,
		"nbformat_minor": 0,
		"worksheets": [
		{
		"cells": [
		{
		"cell_type": "markdown",
		"metadata": {
		"slideshow": {
		"slide_type": "slide"
		}
		},
		"source": [
		"<div style=\"text-align: center\">\n",
		" <h1>Infinite Skills — Intro to Python with IPython Notebook</h1>\n",
		" <h2>Introduction</h2>\n",
		" <h2>James Powell — <a href=\"james@pythonquants.com\">james@pythonquants.com</a></h2>\n",
		"</div>"
		]
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"from IPython.display import IFrame, HTML, display\n",
		"from __future__ import division, unicode_literals\n",
		"\n",
		"def IFrame(url, width='100%', height=350, IFrame=IFrame):\n",
		" display(HTML('<a href=\"{0}\">{0}</a>'.format(url)))\n",
		" display(IFrame(url, width=width, height=height))"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "skip"
		}
		},
		"outputs": [],
		"prompt_number": 42
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"IFrame('http://www.infiniteskills.com', width='100%', height=250)"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "slide"
		}
		},
		"outputs": [
		{
		"html": [
		"<a href=\"http://www.infiniteskills.com\">http://www.infiniteskills.com</a>"
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.core.display.HTML at 0x3365990>"
		]
		},
		{
		"html": [
		"\n",
		" <iframe\n",
		" width=\"100%\"\n",
		" height=250\"\n",
		" src=\"http://www.infiniteskills.com\"\n",
		" frameborder=\"0\"\n",
		" allowfullscreen\n",
		" ></iframe>\n",
		" "
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.lib.display.IFrame at 0x3365d50>"
		]
		}
		],
		"prompt_number": 50
		},
		{
		"cell_type": "markdown",
		"metadata": {
		"slideshow": {
		"slide_type": "slide"
		}
		},
		"source": [
		"Agenda \n",
		"------\n",
		"\n",
		"[Introductions](#intro)\n",
		"\n",
		"[Video Overview: Projects & Goals](#overview)\n",
		"\n",
		"[What this Video Will NOT Cover](#notcover)\n",
		"\n",
		"[About the Author](#author)\n",
		"\n",
		"[Course Links & Resources](#resources)\n",
		"\n",
		"[Prerequisites](#prereqs)"
		]
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"from IPython.display import Javascript, display\n",
		"display(Javascript('''IPython.notebook.kernel.execute(\"filename = '\" + IPython.notebook.notebook_name + \"'\");'''))"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "skip"
		}
		},
		"outputs": [
		{
		"javascript": [
		"IPython.notebook.kernel.execute(\"filename = '\" + IPython.notebook.notebook_name + \"'\");"
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.core.display.Javascript at 0x1c5c690>"
		]
		}
		],
		"prompt_number": 3
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"from json import load\n",
		"with open(filename) as f:\n",
		" nb = load(f)\n",
		"\n",
		"headings = [line for cell in nb['worksheets'][0]['cells']\n",
		" if cell['cell_type'] == 'markdown' and any(line.strip().startswith('Agenda') \n",
		" for line in cell['source'])\n",
		" for line in cell['source'] \n",
		" if '#' in line]\n",
		"\n",
		"for heading in headings:\n",
		" if heading:\n",
		" title, anchor = heading.strip()[1:-1].split('](')\n",
		" print '<h2 id=\"{anchor}\">{title}</h2>'.format(title=title, anchor=anchor)"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "skip"
		}
		},
		"outputs": [
		{
		"output_type": "stream",
		"stream": "stdout",
		"text": [
		"<h2 id=\"#intro\">Introductions</h2>\n",
		"<h2 id=\"#overview\">Video Overview: Projects & Goals</h2>\n",
		"<h2 id=\"#notcover\">What this Video Will NOT Cover</h2>\n",
		"<h2 id=\"#author\">About the Author</h2>\n",
		"<h2 id=\"#resources\">Course Links & Resources</h2>\n",
		"<h2 id=\"#prereqs\">Prerequisites</h2>\n"
		]
		}
		],
		"prompt_number": 4
		},
		{
		"cell_type": "markdown",
		"metadata": {
		"slideshow": {
		"slide_type": "slide"
		}
		},
		"source": [
		"<h2 id=\"#intro\">Introductions</h2>"
		]
		},
		{
		"cell_type": "heading",
		"level": 1,
		"metadata": {
		"slideshow": {
		"slide_type": "subslide"
		}
		},
		"source": [
		"James Powell"
		]
		},
		{
		"cell_type": "heading",
		"level": 1,
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"source": [
		"James Powell <james@pythonquants.com>"
		]
		},
		{
		"cell_type": "heading",
		"level": 1,
		"metadata": {
		"slideshow": {
		"slide_type": "subslide"
		}
		},
		"source": [
		"[@dontusethiscode](http://twitter.com/dontusethiscode)"
		]
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"from IPython.display import HTML\n",
		"\n",
		"HTML('''\n",
		"<a class=\"twitter-timeline\" href=\"https://twitter.com/dontusethiscode\" data-widget-id=\"503767208321765376\">Tweets by @dontusethiscode</a>\n",
		" <script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+\"://platform.twitter.com/widgets.js\";fjs.parentNode.insertBefore(js,fjs);}}(document,\"script\",\"twitter-wjs\");</script>\n",
		"''')"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"outputs": [
		{
		"html": [
		"\n",
		"<a class=\"twitter-timeline\" href=\"https://twitter.com/dontusethiscode\" data-widget-id=\"503767208321765376\">Tweets by @dontusethiscode</a>\n",
		" <script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+\"://platform.twitter.com/widgets.js\";fjs.parentNode.insertBefore(js,fjs);}}(document,\"script\",\"twitter-wjs\");</script>\n"
		],
		"metadata": {},
		"output_type": "pyout",
		"prompt_number": 51,
		"text": [
		"<IPython.core.display.HTML at 0x3365dd0>"
		]
		}
		],
		"prompt_number": 51
		},
		{
		"cell_type": "heading",
		"level": 1,
		"metadata": {
		"slideshow": {
		"slide_type": "subslide"
		}
		},
		"source": [
		"`dutc` (#nycpython, #python on Freenode)"
		]
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"IFrame('https://webchat.freenode.net/', width='100%', height=350)"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"outputs": [
		{
		"html": [
		"<a href=\"https://webchat.freenode.net/\">https://webchat.freenode.net/</a>"
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.core.display.HTML at 0x3365750>"
		]
		},
		{
		"html": [
		"\n",
		" <iframe\n",
		" width=\"100%\"\n",
		" height=350\"\n",
		" src=\"https://webchat.freenode.net/\"\n",
		" frameborder=\"0\"\n",
		" allowfullscreen\n",
		" ></iframe>\n",
		" "
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.lib.display.IFrame at 0x3365f50>"
		]
		}
		],
		"prompt_number": 52
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"IFrame('http://quant-platform.com', width='100%', height=350)"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "subslide"
		}
		},
		"outputs": [
		{
		"html": [
		"<a href=\"http://quant-platform.com\">http://quant-platform.com</a>"
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.core.display.HTML at 0x3365e90>"
		]
		},
		{
		"html": [
		"\n",
		" <iframe\n",
		" width=\"100%\"\n",
		" height=350\"\n",
		" src=\"http://quant-platform.com\"\n",
		" frameborder=\"0\"\n",
		" allowfullscreen\n",
		" ></iframe>\n",
		" "
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.lib.display.IFrame at 0x3365f10>"
		]
		}
		],
		"prompt_number": 53
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"IFrame('http://forpythonquants.com', width='100%', height=350)"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "subslide"
		}
		},
		"outputs": [
		{
		"html": [
		"<a href=\"http://forpythonquants.com\">http://forpythonquants.com</a>"
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.core.display.HTML at 0x3365910>"
		]
		},
		{
		"html": [
		"\n",
		" <iframe\n",
		" width=\"100%\"\n",
		" height=350\"\n",
		" src=\"http://forpythonquants.com\"\n",
		" frameborder=\"0\"\n",
		" allowfullscreen\n",
		" ></iframe>\n",
		" "
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.lib.display.IFrame at 0x3365b50>"
		]
		}
		],
		"prompt_number": 54
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"IFrame('http://meetup.com/nycpython', width='100%', height=350)"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "subslide"
		}
		},
		"outputs": [
		{
		"html": [
		"<a href=\"http://meetup.com/nycpython\">http://meetup.com/nycpython</a>"
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.core.display.HTML at 0x3365510>"
		]
		},
		{
		"html": [
		"\n",
		" <iframe\n",
		" width=\"100%\"\n",
		" height=350\"\n",
		" src=\"http://meetup.com/nycpython\"\n",
		" frameborder=\"0\"\n",
		" allowfullscreen\n",
		" ></iframe>\n",
		" "
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.lib.display.IFrame at 0x3365ed0>"
		]
		}
		],
		"prompt_number": 55
		},
		{
		"cell_type": "code",
		"collapsed": false,
		"input": [
		"IFrame('http://pygotham.org', width='100%', height=350)"
		],
		"language": "python",
		"metadata": {
		"slideshow": {
		"slide_type": "subslide"
		}
		},
		"outputs": [
		{
		"html": [
		"<a href=\"http://pygotham.org\">http://pygotham.org</a>"
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.core.display.HTML at 0x3246090>"
		]
		},
		{
		"html": [
		"\n",
		" <iframe\n",
		" width=\"100%\"\n",
		" height=350\"\n",
		" src=\"http://pygotham.org\"\n",
		" frameborder=\"0\"\n",
		" allowfullscreen\n",
		" ></iframe>\n",
		" "
		],
		"metadata": {},
		"output_type": "display_data",
		"text": [
		"<IPython.lib.display.IFrame at 0x3365490>"
		]
		}
		],
		"prompt_number": 56
		},
		{
		"cell_type": "markdown",
		"metadata": {
		"slideshow": {
		"slide_type": "slide"
		}
		},
		"source": [
		"<h2 id=\"#overview\">Video Overview: Projects & Goals</h2>"
		]
		},
		{
		"cell_type": "heading",
		"level": 3,
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"source": [
		"1. Learn about the IPython Notebook programming environment"
		]
		},
		{
		"cell_type": "heading",
		"level": 3,
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"source": [
		"2. Learn some Python basics"
		]
		},
		{
		"cell_type": "heading",
		"level": 3,
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"source": [
		"3. Apply #1 and #2 to complete some small projects using Python and IPython notebook"
		]
		},
		{
		"cell_type": "markdown",
		"metadata": {
		"slideshow": {
		"slide_type": "slide"
		}
		},
		"source": [
		"<h2 id=\"#notcover\">What this Video Will NOT Cover</h2>"
		]
		},
		{
		"cell_type": "heading",
		"level": 3,
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"source": [
		"1. In-Depth Python & Data Analytics Topics"
		]
		},
		{
		"cell_type": "heading",
		"level": 3,
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"source": [
		"2. Python 2 vs Python 3 (Unicode, Timezones)"
		]
		},
		{
		"cell_type": "markdown",
		"metadata": {
		"slideshow": {
		"slide_type": "slide"
		}
		},
		"source": [
		"<h2 id=\"#resources\">Course Links & Resources</h2>"
		]
		},
		{
		"cell_type": "markdown",
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"source": [
		"[Python documentation](https://docs.python.org/2/)\n",
		"\n",
		"[Python tutorial](https://docs.python.org/2/tutorial/index.html)\n",
		"\n",
		"[IPython Notebook](http://ipython.org/notebook.html)\n",
		"\n",
		"[Pandas](http://pandas.pydata.org)\n",
		"\n",
		"[Anaconda](https://store.continuum.io/cshop/anaconda/)\n",
		"\n",
		"[matplotlib](http://matplotlib.org/)"
		]
		},
		{
		"cell_type": "markdown",
		"metadata": {
		"slideshow": {
		"slide_type": "slide"
		}
		},
		"source": [
		"<h2 id=\"#prereqs\">Prerequisites</h2>"
		]
		},
		{
		"cell_type": "heading",
		"level": 3,
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"source": [
		"1. Web Browser (Chrome, Firefox, Internet Explorer)"
		]
		},
		{
		"cell_type": "heading",
		"level": 3,
		"metadata": {
		"slideshow": {
		"slide_type": "fragment"
		}
		},
		"source": [
		"2. Anaconda (we'll install together)"
		]
		}
		],
		"metadata": {}
		}
		]
		}
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Learning iPython Notebook - Working Files/Chapter 2/No Work Files.rtf

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		\f0\fs24 \cf0 No work files for this lesson...}
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Learning iPython Notebook - Working Files/Chapter 3/Tour of IPython Notebook.ipynb

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Learning iPython Notebook - Working Files/Chapter 4/Project - Password Generator.ipynb

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